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Capacity Engineer

Cloudflare· Infrastructure
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Hybrid (Austin, TX)$0full-timePosted 5d ago

About the role

Capacity Engineer in Cloudflare's Demand Planning team, focusing on end-to-end regional capacity planning for Cloudflare's global edge, building models, data pipelines, and translating forecasts into deployment decisions with AI tools.

Responsibilities

  • Own one or more edge planning regions end-to-end, producing deployment recommendations with minimal supervision
  • Maintain and continuously improve regional planning models, incorporating new traffic patterns, hardware generations, and infrastructure changes
  • Build and maintain data pipelines that feed regional planning — using BigQuery, Python, and Jupyter notebooks to query, explore, and validate planning data
  • Work directly with hardware sourcing, DCS, and infrastructure teams to translate forecasts into actionable deployment plans
  • Proactively identify capacity risks in your region and surface them before they require escalation
  • Use OpenCode AI and MAS agent tooling as a standard part of your daily planning workflow
  • Contribute to cross-regional consistency efforts alongside peers — shared methodology, shared standards
  • Participate in planning reviews and communicate forecast outputs clearly to non-technical stakeholders

Qualifications

  • 3-5 years in an analytical, planning, or technical infrastructure role
  • Working SQL proficiency — comfortable querying and joining datasets in BigQuery to answer planning questions
  • Python proficiency — data analysis, scripting, and automation of planning workflows; comfortable working in Jupyter notebooks as a day-to-day analysis environment
  • Comfort working with large infrastructure datasets and translating them into decisions
  • Clear written and verbal communication — you can explain a capacity recommendation to a finance partner or a network engineer without losing either of them
  • Demonstrated ability to own a workstream end-to-end with light supervision

Skills

Required:SQLPythonData analysis

Benefits

  • Competitive compensation package
  • Hybrid work environment
  • Opportunity to work with AI tooling and advanced planning systems
  • Collaborative team culture and visible impact from day one
Last updated Oct 21, 2026. Interested? Apply on the company site.

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